UCL Research Data Repository2026 · dataset
Cheatsheet Statistik dan Probabilitas<blockquote><p dir="ltr"><b>Deskripsi:</b></p><p dir="ltr">Cheatsheet ini adalah <b>dokumen pendamping (companion)</b> untuk ebook <i>"Statistik dan Probabilitas: Dijelasin Pelan-Pelan — Dari Nol Sampai Paham"</i>. Jika ebook utamanya berfungsi sebagai <b>penjelasan naratif lengkap</b> dengan cerita, analogi, dan contoh hitung langkah demi langkah, maka cheatsheet ini adalah <b>ringkasan cepat</b>
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset
<b>The theory of mathematical processing of geodetic measurements</b><p dir="ltr">In the monograph is proposed the general theory of geodetic measurements at the prescribed accuracy of calculations is systematized. A necessary fundamental aspects of the probability theory and the mathematical statistics that are used as initial mathematical approach for the measurement errors theory and the least squares method are presented. The processing methods of measurements
ZivaHub + HKU DataHub + DaYta Ya Rona + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue
Anomalías en la contratación pública del Perú: base de ítems adjudicados, indicadores de riesgo y validación externa, 2022–2024<p dir="ltr">This dataset contains item-level public procurement records from Peru for the period 2022–2024, prepared for the analysis of anomalous patterns in public contracting. The unit of analysis is the awarded procurement item. The database integrates information on contracting entities, winning suppliers, procurement procedures, number of bidders, reference and awarded amounts, timing varia
ZivaHub + Deakin Research Online + HKU DataHub + DaYta Ya Rona + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue
Paralización de obras públicas en el Perú: base longitudinal para análisis de supervivencia, 2019–2026<p dir="ltr">This dataset contains longitudinal information on public works in Peru, prepared for the analysis of time to project suspension using survival-analysis methods. The database follows public works from 2019 to 2026 and is structured to model project suspension as the event of interest, project completion as a competing event, and ongoing works as censored observations.</p><p dir="ltr">T
ZivaHub + Deakin Research Online + HKU DataHub + DaYta Ya Rona + figshare + Loughborough Research Repository + UP Research Data Repository2026 · Astronomical catalogue
Sobrecostos en obras públicas de infraestructura del Perú: base de obras, variables predictoras y resultados, 2018–2023<p dir="ltr">This dataset contains project-level data on public infrastructure works in Peru, prepared for the prediction and analysis of cost overruns using machine-learning methods. The analytical sample covers public works with approved technical files between 2018 and 2023.</p><p dir="ltr">The database includes information on project identification, sector, geographic location, level of govern
HKU DataHub + figshare + Loughborough Research Repository2026 · Astronomical catalogue
Clinical Evidence Calibration in Acute Ischemic Stroke: Derived Evidence Profiles and Independent Replication Outputs<p dir="ltr">This dataset contains derived analytical outputs from the development and independent replication of Clinical Evidence Calibration (CEC), an interpretable statistical framework for integrating heterogeneous clinical findings on a common evidence scale.</p><p dir="ltr">CEC represents individual clinical variables as signed evidence contributions and distinguishes unique evidence, share
figshare2026 · Astronomical catalogue
Code and Data for "Null importance: Disentangling relevance for interpretable machine learning."<p dir="ltr">The code here mirrors that in our GitHub repository (https://github.com/krisrs1128/null_importance). Each case study is a subdirectory of the <code>case_studies</code> folder. The READMEs describe the commands that are used to replicate the analysis and visualization. Under case studies, the <code>environment.yml</code> file defines the conda environment "interpretability_case_studies
figshare2026 · Astronomical catalogue
Peru_Public_Investment_Projects_Master_2015_2025.zip<p dir="ltr"><b>This dataset provides a large-scale administrative database of public investment projects in Peru, compiled for research on project execution, deterioration, and early-warning analysis.</b></p><p dir="ltr">The database contains <b>583,295 public investment projects</b> in the project-level master table and <b>566,824 matched project-year observations</b> for the period <b>2015–2025
figshare2026 · Astronomical catalogue
Raw Dataset<p dir="ltr">Raw data used for our statistical analysis</p>
figshare2026 · Astronomical catalogue
Monthly thunderstorm frequency and meteorological data for Sylhet, Sreemangal, and Mymensingh.<p dir="ltr">The dataset contains the monthly thunderstorm frequency and the five climatic variables (temperature, relative humidity, cloud cover, rainfall, and atmospheric pressure) for the Sylhet, Sreemangal, and Mymensingh stations over the period 1985–2024. All data were obtained from the Bangladesh Meteorological Department and are provided in a fully anonymized, machine readable format.</p>
figshare2026 · Astronomical catalogue
Data of Vertical Filtration and Horizontal Dual Cores: Attention Allocation and Agency Networks in China’s Smart Agricultural Machinery Policies<p dir="ltr">Data of Vertical Filtration and Horizontal Dual Cores: Attention Allocation and Agency Networks in China’s Smart Agricultural Machinery Policies</p>
figshare2026 · Astronomical catalogue
Dataset and R code for deriving a composite FGF-based biomarker of cardiovascular risk in chronic kidney disease<p dir="ltr">This protocol describes an approach to combine multiple quantitative variables into a composite score derived from biomarker profiles. Selected variables are first integrated into a continuous score, which is subsequently transformed into an ordinal variable to define groups of individuals with similar profiles, enabling classification into categories. The protocol supports downstream